Civil Service Statistics data browser (2025)

Data preview: All civil servants / Region_london / Sexual_orientation / Parent_department / Ethnicity

Status Year Region_london Sexual_orientation Parent_department Ethnicity Headcount FTE Mean_salary Median_salary
In post 2025 London Heterosexual / straight Attorney General’s Departments Asian 620 585 51930 59660
In post 2025 London Heterosexual / straight Attorney General’s Departments Black 400 385 48120 38630
In post 2025 London Heterosexual / straight Attorney General’s Departments Mixed 140 130 56790 61100
In post 2025 London Heterosexual / straight Attorney General’s Departments Other ethnicity 50 45 52550 59660
In post 2025 London Heterosexual / straight Attorney General’s Departments Undeclared 25 25 [c] [c]
In post 2025 London Heterosexual / straight Attorney General’s Departments Unknown 50 50 59300 61200
In post 2025 London Heterosexual / straight Attorney General’s Departments White 1705 1590 62540 65250
In post 2025 London Heterosexual / straight Cabinet Office Asian 395 390 56220 48770
In post 2025 London Heterosexual / straight Cabinet Office Black 205 205 50860 46730
In post 2025 London Heterosexual / straight Cabinet Office Mixed 125 120 60540 61740
In post 2025 London Heterosexual / straight Cabinet Office Other ethnicity 35 35 52450 46730
In post 2025 London Heterosexual / straight Cabinet Office Undeclared 35 35 57010 61740
In post 2025 London Heterosexual / straight Cabinet Office Unknown 330 325 59660 61740
In post 2025 London Heterosexual / straight Cabinet Office White 2105 2055 67780 62700
In post 2025 London Heterosexual / straight Chancellor’s other departments Asian 45 45 56610 51410
In post 2025 London Heterosexual / straight Chancellor’s other departments Black 15 15 [c] [c]
In post 2025 London Heterosexual / straight Chancellor’s other departments Mixed 15 15 [c] [c]
In post 2025 London Heterosexual / straight Chancellor’s other departments Other ethnicity [c] [c] [c] [c]
In post 2025 London Heterosexual / straight Chancellor’s other departments Undeclared 5 5 [c] [c]
In post 2025 London Heterosexual / straight Chancellor’s other departments Unknown [c] [c] [c] [c]
Note: Data has been truncated to 20 rows, please download the data to view the remaining rows

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About: The Civil Service Statistics data browser is a pilot project by Cabinet Office to provide access to more detailed data on the Civil Service workforce from the Annual Civil Service Employment Survey. We welcome feedback or comments on this project, which can be addressed to civilservicestatistics@cabinetoffice.gov.uk

Notes: Summary figures are suppressed when information relates to less than 5 civil servants for FTE or Headcount, and less than 10 civil servants for median and mean salary (shown as [c]). Zero responses and salaries for less than 30 civil servants have been suppressed for GPDR special category data. FTE figures are not shown for entrants or leavers due to data quality concerns for these groups. Figures are rounded to the nearest 5, or £10 as appropriate.

Data source: All figures are aggregated from the Cabinet Office Annual Civil Service Employment Survey collection.

Version: Generated on 2025-07-17

Data column Description
Status Employment status of the civil servants.
In post - includes staff that were in post on the reference date (31 March).
New entrant CS - includes new entrants to the Civil Service over the year (1 April to 31 March).
Leaver CS - includes leavers from the Civil Service over the year (1 April to 31 March). This includes employees who have an Unknown leaving cause.
Leaver Dept. - includes leavers from the department over the year (1 April to 31 March), who did not leave the Civil Service.
Five organisations do not report when their employees first entered the Civil Service and so entrants data for these organisations is not available . These are as follows: Foreign Commonwealth and Development Office (excl. agencies), Foreign Commonwealth and Development Office Services, United Kingdom Statistics Authority, Scottish Forestry and Forest and Land Scotland.
Year Year of data collection (as at 31 March).
Parent_department Government Department, total figures for both Ministerial and Non-Ministerial Departments include all of their Executive Agencies.
Region_london Workplace postcode data are used to derive geographical information using the International Territorial Level (ITL) classification standard.
Region_london groups the ITL classifications into "London", "Outside London": all UK regions excluding London, "Overseas", and "Unknown".
Ethnicity Self reported ethnicity. "Undeclared" accounts for employees who have actively declared that they do not want to disclose their ethnicity and "Unknown" accounts for employees who have not made an active declaration about their ethnicity.
Sexual_orientation Self reported sexual orientation.
"Undeclared" accounts for employees who have actively declared that they do not want to disclose their sexual orientation and "Unknown" accounts for employees who have not made an active declaration about their sexual orientation.
Headcount Total number of civil servants (rounded to nearest 5).
FTE Total full-time equivalent (FTE) employment numbers (rounded to nearest 5).
FTE figures are not shown for entrants or leavers due to data quality concerns for these groups.
Mean_salary Average salary (mean, rounded to nearest £10). For part-time employees, salaries represent the full-time equivalent earnings, while for full-time employees they are the actual annual gross salaries.
These figures should be interpreted with caution when the total number of employees in a group is small, as they will tend to show more variability than larger groups (i.e. may be much higher or lower than can be explained by the data shown).
Median_salary Median salary (rounded to nearest £10). For part-time employees, salaries represent the full-time equivalent earnings, while for full-time employees they are the actual annual gross salaries.
These figures should be interpreted with caution when the total number of employees in a group is small, as they will tend to show more variability than larger groups (i.e. may be much higher or lower than can be explained by the data shown).